--- title: "Exercise 6" author: "Put your name here" date: "Put the date here" output: html_document --- # Task 1: Reflection Put your reflection here # Task 2: Visualizing uncertainty with gapminder For this exercise you'll revisit Hans Rosling's gapminder data on health and wealth. Install the **gapminder** package if you haven't already. Also install the **ggridges** and **gghalves** packages. ```{r load-libraries-data, warning=FALSE, message=FALSE} library(tidyverse) # For ggplot, dplyr, and friends library(gapminder) # For health/wealth data library(ggridges) # For ridge plots library(gghalves) # For half geoms ``` ## Histograms Make a histogram of *logged* GDP per capita for 1997 only, across all five continents. ```{r filter-gapminder-1997} # Create a filtered dataset ``` ```{r plot-histogram} # Add a histogram here. You'll probably want to fill and facet. # You'll also need to add scale_x_log10() ``` ## Densities Make a ridge plot of life expectancy over time, from 1952 to 2007. You'll need to use the full gapminder data, not the 1997-only data. ```{r plot-ridgeplot} # Add a ridge plot here ``` ## Boxes, violins, and friends Make a filtered dataset that selects data from only 2007 *and* removes Oceania. Show the distribution of *logged* GDP per capita across the *four* continents using some combination of boxplots and/or violin plots and/or strip plots, either overlaid on top of each other, or using their `geom_half_*()` counterparts from **gghalves**. ```{r filter-gapminder-2007-sans-oceania} # Create a filtered dataset ``` ```{r plot-distribution} # Add a plot here. You'll want to use either scale_x_log10() or scale_y_log10(), # depending on which direction your boxplots/violin plots/etc. go ```